Swarm UAV Flight Data for Long-Horizon Task Simulation

U2UData-2 is a large-scale dataset for swarm Unmanned Aerial Vehicle autonomous flight focused on Long-Horizon tasks. It was created by author fengtt42 to address limitations in existing methods that fail in real-world deployment for complex, non-sequential missions. The dataset was last updated in September 2025.

Use Cases

• Training reinforcement learning agents for long-horizon task planning using flight trajectories and persistent state data.
• Developing models to handle long-term dependencies in swarm behavior from sequential mission data.
• Simulating and testing swarm adaptation strategies to dynamic goal shifts using scenario-based data.

Strengths

• Described as the first large-scale swarm UAV dataset for Long-Horizon tasks.
• Specifically designed to handle complex dependencies beyond basic task concatenation.

Limitations

• Specific quantitative details like row count, column names, and data size are unknown.
• The dataset's geographic origin and spatial coverage are not specified.

Provenance

Source

fengtt42 on Hugging Face.

Collection Method

Presumably generated from swarm UAV autonomous flight simulations or experiments, but the exact collection method is unspecified.

Freshness

Last updated on 2025-09-04.